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A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables
Su, Miaomiao; Wang, Qihua
2022-04-01
Source PublicationCOMPUTATIONAL STATISTICS & DATA ANALYSIS
ISSN0167-9473
Volume168Pages:14
AbstractThis paper is concerned with the estimating problem of response quantile with high dimensional covariates when the response is missing at random. Some existing methods define root-n consistent estimators for the response quantile. But these methods require correct specifications of both the conditional distribution of response given covariates and the selection probability function. In this paper, a debiased method is proposed by solving a convex program. The estimator obtained by the proposed method is asymptotically normal given a correctly specified parametric model for the conditional distribution function, without the requirement to specify the selection probability function. Moreover, the proposed estimator can be asymptotically more efficient than the existing estimators. The proposed method is evaluated by a simulation study and is illustrated by a real data example. (C) 2021 Elsevier B.V. All rights reserved.
KeywordHigh dimensions Missing at random Marginal response quantile Optimal weights Selection probability function
DOI10.1016/j.csda.2021.107371
Indexed BySCI
Language英语
Funding ProjectNational Natural Science Foundation of China[11871460] ; Key Lab of Random Complex Structure and Data Science, CAS ; National Natural Science Foundation of China (program for Innovative Research Group)[61621003]
WOS Research AreaComputer Science ; Mathematics
WOS SubjectComputer Science, Interdisciplinary Applications ; Statistics & Probability
WOS IDWOS:000721109600003
PublisherELSEVIER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.amss.ac.cn/handle/2S8OKBNM/59614
Collection应用数学研究所
Corresponding AuthorWang, Qihua
AffiliationChinese Acad Sci, Acad Math & Syst Sci, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Su, Miaomiao,Wang, Qihua. A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables[J]. COMPUTATIONAL STATISTICS & DATA ANALYSIS,2022,168:14.
APA Su, Miaomiao,&Wang, Qihua.(2022).A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables.COMPUTATIONAL STATISTICS & DATA ANALYSIS,168,14.
MLA Su, Miaomiao,et al."A convex programming solution based debiased estimator for quantile with missing response and high-dimensional covariables".COMPUTATIONAL STATISTICS & DATA ANALYSIS 168(2022):14.
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